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System combination with extra alignment information

Wu, Xiaofeng and Okita, Tsuyoshi and van Genabith, Josef and Liu, Qun (2012) System combination with extra alignment information. In: ML4HMT-12 Workshop, 9 Dec 2012, Mumbai, India.

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This paper provides the system description of the IHMM team of Dublin City University for our participation in the system combination task in the Second Workshop on Applying Machine Learning Techniques to Optimise the Division of Labour in Hybrid MT (ML4HMT-12). Our work is based on a confusion network-based approach to system combination. We propose a new method to build a confusion network for this: (1) incorporate extra alignment information extracted from given meta data, treating them as sure alignments, into the results from IHMM, and (2) decode together with this information. We also heuristically set one of the system outputs as the default backbone. Our results show that this backbone, which is the RBMT system output, achieves an 0.11% improvement in BLEU over the backbone chosen by TER, while the extra information we added in the decoding part does not improve the results.

Item Type:Conference or Workshop Item (Paper)
Event Type:Workshop
Uncontrolled Keywords:system combination; confusion network; indirect HMM alignment; backbone chosen
Subjects:Computer Science > Machine translating
DCU Faculties and Centres:DCU Faculties and Schools > Faculty of Engineering and Computing > School of Computing
Use License:This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License
ID Code:17672
Deposited On:19 Dec 2012 11:31 by Tsuyoshi Okita. Last Modified 14 Oct 2016 10:40

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